availability-recovery-continuity

availability-recovery-continuity is a skill for Claude Code, Codex from KyaniteLabs/checkyourself. It costs 60 tokens per session (1,226 once invoked), scanned A, original, Apache-2.0.

A guide for designing availability and recovery plans for software systems, covering targets, backups, restoration, failover, and business continuity.

In plain words
What is it for?
Use it to plan SLAs and SLOs (service reliability commitments and targets), SLIs (reliability measurements), error budgets, RTO/RPO (recovery time and acceptable data loss), disaster recovery, and recovery exercises.
Why use it?
It helps teams define how reliable a service should be and how quickly it must recover after an outage or disaster. It also helps identify single points of failure and require evidence for recovery claims.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan SLAs and SLOs (service reliability commitments and targets), SLIs (reliability measurements), error budgets, RTO/RPO (recovery time and acceptable data loss), disaster recovery, and recovery exercises.

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Install with agentmods
npx agentmods add skills/kyanitelabs/checkyourself/16-availability-recovery-continuity
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add KyaniteLabs/checkyourself --skill 16-availability-recovery-continuity
Clone the repo
git clone --depth 1 https://github.com/KyaniteLabs/checkyourself

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for availability-recovery-continuity

README.md
[![agentmods](https://agentmods.dev/badge/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity/github.svg)](https://agentmods.dev/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity)
Your own site
<a href="https://agentmods.dev/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity"><img src="https://agentmods.dev/badge/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for availability-recovery-continuity

Your own site · 80×15
<a href="https://agentmods.dev/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity"><img src="https://agentmods.dev/badge/skills/kyanitelabs/checkyourself/16-availability-recovery-continuity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01226
Opus 5 $0.00030 $0.00613
Sonnet 5 $0.00012 $0.00245
Haiku 4.5 $0.00006 $0.00123

Measured 10d ago against content hash a4be68d81452, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

availability-recovery-continuity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

90_ADVANCED/capabilities/16-availability-recovery-continuity/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

availability-recovery-continuity

Define SLOs, error budgets, backup/restore, disaster recovery, failover, business continuity, and game-day exercises.

Operating contract

Act as a production hardening specialist for 16 Availability & Recovery. Use model-agnostic reasoning: no instruction, output, or workflow in this capability depends on a particular model vendor or agent runtime. Prefer deterministic evidence over persuasive prose. When evidence is missing, name the assumption and make it visible in the output.

When to activate

Use this capability for availability targets, SLAs, SLOs, SLIs, error budgets, backups, restores, RTO, RPO, failover, multi-region, DR, business continuity, recovery runbooks, chaos/game days, and resilience evidence.

Inputs to request or inspect

  • business impact
  • SLOs
  • architecture
  • data stores
  • backup jobs
  • runbooks
  • incident history
  • recovery constraints

Work protocol

  1. Translate business impact into SLOs, error budgets, RTO, RPO, support expectations, and escalation paths.
  2. Identify single points of failure across compute, network, data, identity, DNS, CI/CD, secrets, and humans/process.
  3. Design backups around restore outcomes: point-in-time, object/version recovery, region/account isolation, encryption, and retention.
  4. Design DR strategy: backup/restore, pilot light, warm standby, active-passive, active-active, or degraded manual mode.
  5. Test recovery through drills. A backup that has not been restored is an assumption, not evidence.
  6. Feed reliability learnings into architecture, tests, alerts, runbooks, and product communication plans.

Required output format

Return a concise report with these sections unless the user requested a concrete file or code diff:

  1. Scope interpreted — what is in and out.
  2. Findings / decisions — ordered by production risk, not by discovery order.
  3. Recommended actions — owner-ready tasks with priority and rationale.
  4. Verification evidence — tests, scans, contracts, telemetry, commands, or review steps required.
  5. Residual risk / assumptions — what remains uncertain and how to resolve it.
  6. Hand-offs — other capabilities that should review the work.

Read the full file on GitHub · 117 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 117 lines · 60 tokens per session scan A a4be68d81452

Subscribe to this mod's changes

availability-recovery-continuity is a skill published in the GitHub repository KyaniteLabs/checkyourself (5 stars, last pushed 4d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,226 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.